PwC Model Risk Management - Financial Markets Senior Associate in New York, New York
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PwC Advisory helps our clients with their most challenging imperatives from strategy through execution. We combine the breadth of knowledge of over 48,000 global professionals with deep industry knowledge to deliver custom solutions for our clients. We work with the world's largest and most complex companies and understand the unique business issues and opportunities our clients face.
The Financial Services industry is operating in a challenging environment due to global economic pressure, increasing regulatory demands and capital requirements, and significant operational and technology changes. Our growing Financial Services Advisory team provides strategy, management, technology and risk consulting services to help major financial institutions around the world respond to their most complex business challenges. The Financial Services Advisory practice is composed of three industry sectors: Asset Management, Banking and Capital Markets, and Insurance.
Our Risk & Regulatory consultants help clients understand and address their enterprise risk and regulatory profile. This high performing team advises clients on the overall management and performance of their business, with a focus in compliance management, business continuity, risk and governance, and treasury management.
Minimum Years of Experience: 6
Minimum Degree Required: Advanced degree
Minimum Degree Required Major: in Economics
Degree(s) Preferred: Ph.D.
Preferred Degree Major: or a combination of an advanced Statistics degree with an undergraduate or graduate degree in Finance/Economics
Demonstrates extensive knowledge of, and a proven record of success managing and executing data analytics projects within the Financial Services sector, including banking industry, consulting, or government regulatory positions. Knowledge areas include
Extensive financial/econometric modeling focus;
Knowledge of /Proficiency with credit risk models, mortgage prepayment models, and/or complex discounted cash flow models
Techniques for analysis of complex financial services data, including programming and computational techniques for large data sets and quantitative analysis;
Statistical techniques for analyzing financial data, including: sampling, optimization, logistic regression, and cluster analysis; and
Visualization techniques for summarizing complex financial data analysis
Demonstrates extensive abilities and a proven record of success as a manager of engagements and project teams, which include the following:
Ability and experience managing teams using leading programming and analytical tools to analyze AML data, including SAS, R, C++, SPSS, Oracle, SQL
Demonstrated proficiency with advanced statistical/econometric modeling techniques and complex Excel-based spreadsheet models;
Thorough SAS programming skills
- additional experience with Visual Basic, SQL, or C++ is a plus;
Demonstrated and proven extensive verbal and written communication skills, and ability to interface effectively with modelers as well as all levels of client management;
Understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback
Identifying and addressing client needs, which includes the following: building solid relationships with clients; developing an awareness of Firm services; approaching client in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a supervisor
Prioritizing and handling multiple tasks; researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environmen
Strong finance background with some skills in statistics
Financial Engineer, Masters / PhD in Math
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.